Five Models for Data Stewardship
Former Intel CEO Andy Grove once coined the phrase, 'Technology happens.' As true as Grove's pat aphorism has become, it's not always good news. Twenty years ago, no one ever got fired for buying IBM. In the heyday of customer relationship management (CRM), com- panies bought first and asked questions later. Nowadays, business intelligence, data quality and master data management (MDM) initiatives have opened companies' eyes to the fact that'”absent sustained processes and data-centric expertise'”the tools themselves rarely solve the problem.
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Data Monitoring:
Add Controls to Your Data Governance Program
Many companies today have come to realize the substantial impact that its underlying data can have on every aspect of a company's life. From corporate strategy to customer service to supply chain management, the information that you gather on customers, prospects, products, inventory or employees can be a major factor in your organization's ability to properly understand its current corporate landscape.
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Identity Resolution for Data Quality and Master Data Management
Download this report to get Rich Mogull's (Senior Data Protection analyst at Gartner Group), advice on how to tackle today's DLP challenges. He has unique insights on the issues facing IT professionals charged with protecting vital information.
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Data Integration: Moving Beyond ETL
With large amounts of business data generated every day, it's not surprising that organizations can become overwhelmed by the task of managing it. Whether they've created their own disparate data stores over the years or inherited information through mergers or acquisitions, businesses frequently struggle to find reliable, consistent ways to move and manipulate data. As a result, their data becomes too disorganized and unwieldy to be of any business use.
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